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Related Questions
- How does the concept of word2vec or GloVe embeddings handle out-of-vocabulary (OOV) words when encountering new entities?
- What are some common techniques for updating entity embeddings in a large-scale knowledge graph when new entities are added?
- Can you explain the difference between online and offline updating of entity embeddings, and when would each method be suitable for dynamic updating?
- How do neural network-based methods, such as neural architecture search, aid in dynamically updating entity embeddings?
- What are the implications of using incremental learning or transfer learning for updating entity embeddings with new entities?
- Can you discuss the trade-offs between updating entity embeddings using batch or incremental learning?
- What are some strategies for handling concept drift in entity embeddings when new entities are introduced, and how can they be addressed using techniques like online learning or active learning?
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